The ability to identify schematic knowledge is an important goal for both assessment and instruction. In the current paper, schematic knowledge of statistical probability theory is explored from the declarative-procedural framework using multiple methods of assessment. A sample of 90 undergraduate introductory statistics students was required to classify 10 pairs of probability problems as simi...

Tools for visualizing and creating groundtruth and metadata are crucial for document image analysis research. In this paper we describe TrueViz [LK00, KLCB01], which is a tool for visualizing and editing groundtruth/metadata. We rst describe the groundtruthing task and the requirements for any interactive groundtruthing tool. Next we describe the system design of TrueViz and discuss how a user ...

We propose to use a statistical phrasebased machine translation system in a post-editing task: the system takes as input raw machine translation output (from a commercial rule-based MT system), and produces post-edited target-language text. We report on experiments that were performed on data collected in precisely such a setting: pairs of raw MT output and their manually post-edited versions. ...

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

We present a critique of language-based modelling for text input research, and propose an alternative inputbased approach. Current language-based statistical models are derived from large samples of text (corpora). However, this text reflects only the output, or final result, of the text input task. We argue that this weakens the utility of the model, because, (1) users’ language is typically q...

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

8 it to compile it afterwards. However, programs are text, so they can beneet from recent results in document research. We propose a new underlying structure for literate programs, based on SGML. As a result , we will use SGML tools to view and modify literate programs. These tools will isolate programmers from the low level structure of literate programs. Moreover, literate programming can be ...

In this contribution we present a tool for annotating documents, which are used for workintegrated learning, with concepts from an ontology. To allow for annotating directly while creating or editing an ontology, the tool was realized as a plug-in for the ontology editor Protégé. Annotating documents with semantic metadata is a laborious task, most of the time knowledge representations are crea...

We describe a paradigm for combining manual and automatic error correction of noisy structured lexicographic data. Modifications to the structure and underlying text of the lexicographic data are expressed in a simple, interpreted programming language. Dictionary Manipulation Language (DML) commands identify nodes by unique identifiers, and manipulations are performed using simple commands such...